---
library_name: transformers
base_model: csebuetnlp/banglabert
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: basic_transformer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# basic_transformer

This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0173
- F1: 0.9970
- Accuracy: 0.997
- Precision: 0.9970
- Recall: 0.997

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
| No log        | 1.0   | 438  | 0.0235          | 0.9970 | 0.997    | 0.9970    | 0.997  |
| 0.0328        | 2.0   | 876  | 0.0182          | 0.996  | 0.996    | 0.996     | 0.996  |
| 0.0191        | 3.0   | 1314 | 0.0173          | 0.9970 | 0.997    | 0.9970    | 0.997  |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2